Yes, but not recommended. Everyone on your team can share a single license under one login, so your whole lab can review and work with reports without needing separate paid seats. Doing so, you will lose the ability to track [...]
All six tabs draw on the same gene set and interaction database. Four are pure layout changes with no filtering: Subnetworks — groups genes into connected components to show whether the DE list forms coherent modules. Hub Genes — [...]
Because GO is a hierarchy, a significant specific term automatically makes its parent terms appear significant too. HSP and SCDP both correct for this redundancy, but in opposite directions. HSP strips the driving genes out of a significant term's [...]
A 3-column table containing a gene ID/symbol, log2 fold change, and p-value, ideally as a tab-delimited (TSV) file. Official gene symbols for transcriptomics data (microarray, bulk RNA-seq) and gene symbols or uniprot IDs for proteomics data (mass spec) are preferred [...]
Yes, pricing scales with users and volume of analyses. Contact our team to discuss the right fit for your organization.
iPathwayGuide™ is built on the Impact Analysis algorithm, whose core methodology papers have 1,400+ combined independent citations (Genome Research 2007, Bioinformatics 2009). Hundreds of independent peer-reviewed studies (Nature Communications, Cell Metabolism, Cancer Research, etc.) cite the tool directly. The [...]
Input files themselves are never stored. Only the results, which incorporate the input data, are retained. Results are kept for at least one year after the license ends, and customers can delete any or all of their data at [...]
Yes. Data is encrypted both in transit (HTTPS/TLS 1.2+) and at rest, with authentication (OAuth 2.0, individual registered accounts) required to access any data or results. Data is stored in AWS within a Virtual Private Cloud, following AWS security [...]
Each report is visible only to its owner and to collaborators the owner explicitly invites. No other customer can access it, and it is never added to a database or used for model training. Advaita staff only access customer [...]
iPathwayGuide™ only takes a gene list with fold changes and p-values with no treatment, phenotype, or study-design information uploaded. Even in a worst-case access scenario, nothing proprietary about the underlying research could be reconstructed from that data alone. [...]
Yes. You are free to publish any findings from your research. We encourage — but do not require — acknowledgment of iSCanGuide™ by AdvaitaBio in the Methods section of resulting publications.
Yes, for non-clinical research applications that fit the program criteria. This includes biomedical startups, biotech companies, and industry scientists conducting discovery or translational research. A work email address is accepted in place of an institutional email for industry applicants. [...]
No. iSCanGuide™ is designed for no-code analysis. The platform guides you through each step via an intuitive web interface. Our scientific team will also onboard you personally so you can hit the ground running regardless of your bioinformatics background. [...]
Not without your review and approval. Advaita may invite selected participants to collaborate on a use-case story, webinar, or publication-supporting summary, but nothing will be shared publicly without your explicit sign-off.
Absolutely. Your data is never shared, sold, or accessed by Advaita outside of what you explicitly authorize. You retain full ownership of everything you upload and every result you generate. All processing complies with applicable data privacy regulations. [...]
For Research Use Only. Not for use in diagnostic procedures.
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